[Hiring] Data, Analytics, and AI Manager @Portland Leather Goods

Role Description

The Data, Analytics, and AI team runs the company data warehouse, the central database that brings together information from NetSuite, the online store, and the shipping partner, and turns it into reports, metrics, and tools the business can trust. The Manager leads that distributed team: sets its direction, decides the future of the data warehouse (two data warehouse efforts exist today and the company needs one), and builds the team as the work grows. The Manager owns every report that combines data from more than one system and the standard for how key numbers are defined and checked. The Manager also owns the automation and AI tools built on that data.

Key Responsibilities

• Decide the data warehouse platform and consolidate it (20%): Evaluate both existing data warehouse efforts with the Senior Data Engineer, decide whether and how to combine them, and own the resulting platform: architecture, cost, security, and automated feeds from NetSuite, the online store, and the shipping partner.
• Own cross-system reporting and metric standards (20%): Define how each key metric (revenue, margin, cost, inventory, channel profitability) is calculated and tested so every report uses the same definition. Own the monthly product data quality report delivered to Enterprise Systems and the monthly comparison of online store products against NetSuite.
• Set the team's direction and priorities (15%): Maintain a backlog of data, reporting, and AI requests from leadership, Merchandising, Marketing, Finance, Operations, and Digital Commerce. Rank the work and ensure the team delivers the highest-value items first.
• Build and lead the team (15%): Manage the Senior Data Engineer, the Analytics Engineer, and the BI Analyst, Commercial. Hire for open seats, set priorities, review work, run performance reviews, and take over interim technical lead duties.
• Deliver automation and AI tools on the warehouse (15%): Identify opportunities for automation or AI to remove manual work or improve decisions. Pilot, measure, and deploy those tools with clear ownership and guardrails for data access and accuracy.
• Govern data dependencies on upstream systems (15%): Ensure every upstream change that alters how data is stored is reviewed by this team before going live, follow integration standards, and keep daily loads and quality checks running with backup coverage.

Qualifications

• Bachelor’s degree in computer science, Statistics, Mathematics, Information Systems, Engineering, or a related field, or equivalent work experience.
• Seven or more years in data engineering, analytics engineering, or business intelligence, including three or more years leading a data team.
• Built or ran a cloud data warehouse in production, including the pipelines that feed it and the tests that protect it.
• Delivered reporting for a retail, ecommerce, consumer products, or manufacturing business.
• Shipped at least one automation or AI application on top of a data platform and measured its results.
• Preferred: NetSuite and Shopify as source systems; consolidation or migration of a data platform.

Requirements

• Dimensional and analytical data modeling, ELT pipeline design, and orchestration.
• SQL at an expert level, and at least one cloud warehouse such as BigQuery, Snowflake, Redshift, or Databricks.
• Data transformation and testing frameworks (dbt or similar) and data quality monitoring.
• BI tools such as Looker, Power BI, or Tableau, and the design of a metric layer with one definition per measure.
• Large language model and automation patterns for business use, including their limits, cost, and data access controls.
• ERP, ecommerce, and logistics data structures: orders, items, bills of materials, costs, inventory, shipments, and marketplace settlements.
• Data governance, access control, and privacy basics for customer and financial data.

Skills

• Making and defending a platform decision with cost, risk, and migration effort laid out plainly.
• Turning vague business questions into defined metrics and reliable data sets.
• Reading and reviewing pipeline and transformation code written by the team.
• Managing a small distributed team across time zones, including remote staff.
• Plain written and spoken communication with executives, Merchandising, Marketing, and Finance.

Benefits

• Health, dental & vision insurance (75% cost covered by PLG for team member)
• 401(k) with 4% company match
• Discounted pet insurance
• Holidays (including 1 floating holiday), vacation & sick time
• Store discount
• Dynamic & collaborative team environment

Company Description

We’ve come a long way since the garage days. Portland Leather Goods was founded in 2016 to solve a simple problem: Why was it so hard to find an affordable, full-grain leather bag that actually looked and felt great? We’ve grown fast by staying focused — on quality, on value, and on creating a brand people actually love to be part of. Now, we’re building something even bigger. And we’re doing it with people who love taking ownership, bringing energy, and making a real impact. If that’s you — we’d love to meet you.

At Portland Leather Goods, we are proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. We welcome applicants from all backgrounds to join our team.

Check us out at portlandleathergoods.com and on Instagram @portlandleather.